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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. 2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.
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Your Team & Role: As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
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Proficiency in Python, SQL, and cloud-based data processing tools. Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Demonstrable ability to code in Java, Spring, SQL, Python and testing frameworks.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-learn. Expertise in machine learning techniques, classification, clustering, and deep learning.
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Experience with machine learning and data science is a plus. Proficiency in at least one programming language (Python, Java, Scala, etc.) The Data Engineer will also be responsible for implementing data models, ETL processes, and data pipelines.
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Gen AI, Machine Learning, Artificial Intelligence, large language models (LLMs), Python, algorithms, and statistical models. 5+ years of machine learning or AI development, preferably in healthcare insurance / customer service / call center setting.
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Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications. Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling.
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Works primarily as a Python Developer/Data Engineer and brings experience using tools and frameworks to develop solutions that meet client requirements. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Solid understanding of machine learning life cycle, data mining, and ETL techniques. -4+ years of experience in working with Python, SQL, PySpark and bash scripts. -Familiarity with deep learning frameworks and deploying deep learning models for production use cases.
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learning python jobs Title: data engineer in New York, NY
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